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Fake Logo Detection Project

Fake Logo Detector is a web-based application that helps users check whether a logo is genuine or fake. Users can upload a logo image, compare it with stored genuine logos, view similarity results, and post …

Difficulty Level
Intermediate
Core Modules
12 Modules
Laptop frame

Project Overview

Fake Logo Detector is a web-based system designed to identify potentially fake or copied brand logos using image similarity analysis. The platform allows users to register, log in, upload a logo image, and compare it against stored genuine logo references. Based on the similarity score, the system classifies the uploaded logo as real or fake and displays detailed matching results.

The application also includes a comment section where authenticated users can share feedback after logo analysis. To maintain a safe user environment, the system detects inappropriate words in comments and issues warnings, with repeated violations leading to account suspension. Suspended users can submit a reinstatement request for admin review.

Overall, the project provides a simple and effective solution for logo verification, helping users detect brand imitation and reduce the risk of using fraudulent or misleading logos.

Module Breakdown 12 Modules

Home Module
Displays the landing page of the system. It introduces the Fake Logo Detector platform and provides navigation options like Login, Register, Logout, and Analyze Logo.
User Registration Module
Allows new users to create an account using username, email, and password. After successful registration, the user is redirected to the login page.
Login Module
Authenticates registered users using username and password. It also checks whether the user account is suspended before allowing login.
Logout Module
Logs out the current user and redirects them to the login page with a success message.
Logo Upload Module
Allows logged-in users to upload a logo image. The uploaded image is temporarily saved for analysis.
Logo Detection Module
Compares the uploaded logo with genuine logos stored in the system using perceptual hashing. It calculates similarity scores and decides whether the logo is real or fake.
Result Display Module
Shows the logo analysis result to the user. It displays whether the logo is real or fake, the highest similarity score, and detailed comparison scores.
Comment Module
Allows users to post comments after logo analysis. Previous comments are displayed with username and timestamp.
Bad Word Detection Module
Checks user comments for inappropriate words. If bad words are detected, the user receives warnings. After 3 warnings, the account is suspended.
Account Suspension Module
Suspends users who repeatedly post inappropriate comments. Suspended users cannot normally access the system.
Reinstatement Request Module
Allows suspended users to submit a request for account reactivation. Admin can approve the request and restore the account.
Admin Module
Provides admin management for users, comments, logo checks, and reinstatement requests. Admin can review logo history, approve reinstatement, and monitor suspended users.

Technology Stack

Python HTML CSS3 Java Script Django

Project Screenshots 4 Screenshots

Screenshot 1 of Fake Logo Detection
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Screenshot 2 of Fake Logo Detection
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Screenshot 3 of Fake Logo Detection
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Screenshot 4 of Fake Logo Detection
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Project Abstract

Fake Logo Detector is a web-based system designed to identify potentially fake or copied brand logos using image similarity analysis. The platform allows users to register, log in, upload a logo image, and compare it against stored genuine logo references. Based on the similarity score, the system classifies the uploaded logo as real or fake and displays detailed matching results. The application also includes a comment section where authenticated users can share feedback after logo analysis. To maintain a safe user environment, the system detects inappropriate words in comments and issues warnings, with repeated violations leading to account suspension. Suspended users can submit a reinstatement request for admin review. Overall, the project provides a simple and effective solution for logo verification, helping users detect brand imitation and reduce the risk of using fraudulent or misleading logos.

Project Kit Includes

Complete Source Code
Database Schema & Setup Guide
Project Report Template
Completion Certificate
Installation & Deployment Guide

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